$59.99 – $199

Convergence Chicago

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W Chicago - City Center

172 W Adams St

Chicago, IL 60603

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Big data comes with big myths. Convergence, a full-day seminar, focuses on busting through those myths and getting to the truth so you can make informed decisions. Learn from executives, practitioners, myth busters, and technical experts how to solve real-world problems by harnessing disruptions in data, artificial intelligence, cloud, containers, and edge technologies.


These events fill up quickly so secure your seat today!


Areas of Focus:


Use cases, artificial intelligence, data analytics, edge analytics, analytics in cloud, hybrid and multi cloud, containers, microservices, data and cyber security, intelligent applications, global event systems, Hadoop and friends, IoT transformation





AGENDA

8:00a-9:00a || Breakfast/ Registration

9:00a-9:10a | Intro to the Day

9:10a-9:35a | Three Problems, Three Myths, Three Realities | Mitesh Shah, Senior Technologist, MapR

9:35a-10:00a | IRI uses MapR to Retire Costly Legacy Systems While Enhancing Data Science Capabilities | Jonathan Spring, Director, Solutions Architecture, IRI

10:00a-10:20a || Break

10:20a-10:45a | Why Healthcare Data Seems So Useless | Jerason Banes, Senior Principal Architect and Managing Director, Evolent Health

10:45a-11:15a | How the Convergence of Cloud, IoT, and AI is Driving Digital Transformation? | Richard Wylie, Senior Director, Data and AI, Microsoft

11:15a-11:40a | Presentation by HPE

11:40a - 12:00p | Discussion Round

12:00p - 12:40p || Lunch

12:40p-1:20p | Can Video Push Pub/Sub Streaming to the Brink? | Bradley Hoskins, Senior Solutions Engineer, MapR

1:20p-1:40p | Big Data For Everyone - Search-Based BI & Visual Analytics | Richard Tomlinson, Sr Director, Product Management, Arcadia Data

1:40p-2:05p | Modern Big Data and ML in the Era of Cloud, Docker and Kubernetes | Slim Baltagi, Big Data and ML practice Director, Cervello Inc.

2:05p - 2:15p | MapR and Attunity Working Together | Marc Epner, Director of Sales, Attunity

2:15p-2:35p || Break

2:35p - 2:45 | Predictive Financial Forecasting | Brett Kramer, Senior Director, The Hackett Group

2:45p-3:01p | Putting Data into Action: How Technology Can Speed Time to Value - Anoop Dawar, SVP, Product Management, MapR

3:10p-3:20p | Data Catalog in the Age of AI | Mohan Sadashiva, SVP of Product, Waterline Data

3:20p-3:30p | Managing and Automating The Analytic Data Pipeline | Chuck Yarbrough, VP, Solutions Marketing and Management, Hitachi Vantara

3:30p-4:00p | Expert Panel

4:00p-5:30p || Meet the Experts Happy Hour






Featured Speakers




Mitesh Shah, Senior Technologist at MapR Technologies

Mitesh Shah is a Senior Technologist at MapR. In this capacity, Mitesh works tirelessly on behalf of customers to deliver practical content that solves today's data pain points while future-proofing against ever-changing technology and market trends. Mitesh previously held a position at MapR as Product Manager for Security & Data Governance. Prior to MapR, Mitesh held several positions in enterprise security at organizations including the Federal Reserve and Salesforce.com. Mitesh has a degree in Computer Science from Cornell, and an MBA from The Wharton School of the University of Pennsylvania.

View Mitesh's LinkedIn profile





Anoop Dawar, Senior Vice President Product Management, MapR

Anoop Dawar oversees global product management and product marketing at MapR Data Technologies. He comes to MapR with over a decade of experience leading product management and development teams at Aerohive (HIVE) and Cisco (CSCO). His scientific approach to product management and marketing stems from his background in business and technology, as both a practitioner and student. Anoop holds an MS degree in Computer Science from the University of Texas Austin, and an MBA from The Wharton School at the University of Pennsylvania.





Richard Wylie, Senior Director, Data and AI, Microsoft

Richard Wylie is the Senior Director of Data and AI for Microsoft’s Intelligent Cloud business in the North Central Region, and lives in Chicago, IL. Richard is responsible for driving customer success with strategic initiatives including digital transformation and adopting cloud technology, with a specific focus on helping customers unlocking value from their data through AI and Cognitive Computing. This includes working with customers locally to facilitate connections with key people in the Chicago technology ecosystem, in addition to Microsoft resources, including people, technology and other resources available to drive success. Richard has held numerous executive positions within the industry. Prior to his current assignment, he held worldwide and regional leadership positions in the Analytics market with companies including IBM in North America and Europe. He holds an MBA from Imperial College London.

View Richard's LinkedIn profile





Jonathan Spring, Director, Solutions Architecture, IRI

As the senior solutions architect at IRI, Jonathan is responsible for bringing new technologies to IRI while enhancing and automating core technologies. Jonathan’s most recent experience was at the Center for Data Intensive Science at the University of Chicago where their goal was democratizing science for the academic, government and public sector users by providing both pertinent data and computational resources to the NIH, NASA, and NOAA, among others. Their cancer research data engine played a vital role in VP Joe Biden’s cancer moonshot initiative.

View Jonathan's LinkedIn profile




Jerason Banes, Senior Principal Architect and Managing Director, Evolent Health

Jerason Banes is responsible for designing and implementing Evolent Health’s next-generation data platform. He has extensive experience in the Healthcare industry having previously designed radically new and successful systems for Healthcare at Valence Health and Truven (formerly Thomson Reuters, now IBM Watson). His specialty is engineering high-performance systems at scale. He strongly believes that the Healthcare industry is lacking the technology it needs to solve its problems and is ready to take the challenge head-on.

View Jerason's LinkedIn profile




Slim Baltagi, Big Data and ML practice Director at Cervello Inc.

Slim Baltagi is a Director of Big Data and Machine Learning at Cervello Inc., a fast-growing professional services company with an elite team of creative problem solvers highly specialized in helping organizations win with data. He is an IT leader with many years of extensive Big Data experience and more recently Machine Learning. As director, architect and engineer he delivered end-to-end data projects to major Fortune 500 companies in many verticals. He enjoys being considered a thought leader, speaking at many conferences and organizing many advanced analytics meetups at major tech hubs in US cities and abroad.

View Slim's LinkedIn Profile





John Tsang, Director, North America IoT & Big Data Business Leader at Hewlett Packard Enterprise

John leads the IoT and Big Data business for North America sales. His responsibilities include executing the IoT go-to-market and enabling sales, marketing and operations readiness to develop the PAN HPE IoT business. Aligning, growing and leveraging the collective resources of HPE’s solutions and technology organization with worldwide and regional business units, John is executing new PAN HPE IoT/Big Data solutions and initiatives to help customers transform and take advantage of this tremendous technology revolution underway.

John has held numerous leadership roles in end-user and channel sales, marketing and business development and had most recently led the Americas workload business strategy and go to market to unify a common cross-functional approach to workloads & solutions.

John graduated with a Bachelor of Business Administration in Economics from Loyola University of Chicago and has a Masters in Coaching and Administration from Concordia University Irvine, California.





Richard Tomlinson, Sr. Director, Product Management at Arcadia Data

Richard has over 20 years of experience in business intelligence and analytics software, data warehouse and data management platforms. Most recent work has been bringing to market new wave business analytics products on top of the Hadoop and Apache Spark platforms. He is passionate about building technology solutions to help organizations tame diverse data then analyze it to improve decision making and fuel business innovation. He has worked at software companies like SAP, SaS Institute and Oracle in many roles including Product Management, Customer Services and Sales Engineering. Richard currently leads Product Management for Arcadia Data and is responsible for product strategy, roadmap, feature definitions and release cycles of Arcadia Enterprise Visual Analytics platform.

View Richard's LinkedIn profile




Dr. Brett Kramer, Senior Director, Lead Data Scientist, The Hackett Group

Dr. Brett Kramer is the holder of a doctoral degree in performance measurement and statistics, Dr. Kramer has over 20 years of experience in advanced analytics, statistics, performance measurement, and IT consulting. As the lead data scientist for The Hackett Group, he heads the company’s efforts in data science and advanced analytics, specifically predictive and prescriptive techniques and methods. Dr. Kramer helps clients craft their vision for when and where to leverage big data to drive advanced analytics solutions. In addition to his work as a data scientist, Dr. Kramer has served in the public and private sector in roles including chief improvement officer, director of research and evaluation, and national resource manager.

View Brett's LinkedIn profile




Mohan Sadashiva, SVP of Product at Waterline Data

Mohan oversees products and solutions at Waterline Data. He comes to Waterline with over a decade of experience in product leadership positions at Boeing, Intel, Synchronous, Schlumberger and others. He holds an M.S. in Computer Science from Queens University in Canada and an MBA from Columbia University.

View Mohan's LinkedIn profile





Chuck Yarbrough, VP, Solutions Marketing and Management at Hitachi Vantara

Chuck Yarbrough is head of ecosystem solutions at Hitachi Vantara, a leading IoT and big data analytics company that helps organizations solve their biggest challenges. Chuck is part of Hitachi’s product organization and is responsible for building out an ecosystem that helps companies transform into data-driven enterprises. Prior to the acquisition of Pentaho by Hitachi, Chuck was responsible for Solutions at Pentaho.

View Chuck's LinkedIn profile





Marc Epner, Director of Sales at Attunity

Marc Epner has spent the last 30 plus years acting as a trusted advisor to clients of all sizes and across all industries. In his role as Director of Sales for Attunity, Marc maintains a laser focus on driving business value to his clients, through the use of enabling technologies in the data integration space, that drive down costs and increase analytical value. In his spare time, Marc pursues his passion for aviation. Link to Marc’s Article, “Why Technology Helps Us Talk More And Communicate Less”

View Marc's LinkedIn profile




Featured Sessions


Three Problems, Three Myths, Three Realities

Speaker: Mitesh Shah, Senior Technologist at MapR Technologies

This session explores the hottest problems customers are struggling to sort out given the advent of many new breakthrough technological tools. It also addresses conventional wisdom and myths and highlights the reality around three hot issues with best practice guidance and recommendations for each.




Why Healthcare Data Seems So Useless

Speaker: Jerason Banes, Senior Principal Architect and Managing Director, Evolent Health

Healthcare is an industry chock-full of data. In many ways, it was “Big Data” long before “Big Data” was even a term. Despite this, organizations tend to extract very little value from this data. They find it expensive to acquire, difficult to parse, dirty in implementation, and utterly unreliable in practice. This session will provide insight into what makes Healthcare so problematic and how unconventional use of MapR is solving those problems.




Putting Data Into Action: How Technology Can Speed Time to Value

Speaker: Anoop Dawar, Senior Vice President Product Management, MapR

The session will provide a deeper look at how an underlying platform can simplify and speed the ability to put data into action. This session will also cover first use cases, architectural design, and implementation best practices, along with how small agile teams can drive successful projects.




Can Video Push Pub/Sub Streaming to the Brink?

Assessing the practicality of distributed streams for delivering video to GPUs for real-time face recognition.

Speaker: Bradley Hoskins, Senior Solutions Engineer, MapR

Deep learning with GPUs is often used to accelerate model development and performance in production. However, the challenge is feeding data to GPUs as fast as their ability to process it. Integrating GPUs natively into a data platform creates a breakthrough that allows for ingestion of high-quality data into GPUs. This presentation busts the myths that bringing data to GPUs is hard and requires specialized data clusters. The demo application for real-time face detection from live video feeds builds on a sound but simple GPU based architecture and uses the same platform that is used for your data analytics.




IRI uses MapR to Retire Costly Legacy Systems While Enhancing Data Science Capabilities

Speaker: Jonathan Spring, Director, Solutions Architecture, IRI

IRI has used MapR to retire many legacy components. During the course of standing up MapR infrastructures, IRI’s data scientists leveraged the environment to provide more modern analyses to aid IRI’s client base in vital decisions regarding inventory, forecasting and shopper loyalty data that benefits CPG clients meet the demands of their customers.




Modern Big Data and ML in the era of cloud, Docker and Kubernetes

Speaker: Slim Baltagi, Big Data and ML practice Director at Cervello Inc.

There is a major shift in web and mobile application architecture from a monolithic one to a modern ‘micro-services’ one based on containers. Kubernetes has been quite successful in managing those containers and running them in distributed computing environments. Now enabling Big Data and Machine Learning on Kubernetes will allow IT organizations to standardize on the same Kubernetes infrastructure. This will propel adoption and reduce costs. Kubeflow is an open source framework making it easier to use the machine learning tool of your choice and deploy your ML applications at scale on Kubernetes. Kubeflow contrasts the perception and the reality of what is really involved in building ML and AI applications. Like Kubernetes, Kubeflow will probably become an industry standard as well! Both Kubernetes and Kubeflow will enable IT organizations to focus more effort on applications rather than infrastructure."




Big Data For Everyone - Search-Based BI & Visual Analytics

Speaker: Robb Horton, Sr Solutions Architect at Arcadia Data

For decades people have been talking about self-service BI and analytics to enable business users to make better decisions in organizations. The big data era (Hadoop, Spark, data lakes, and more) has seemingly pushed us to solutions for technical users, but business users need access too. Seshu Bommineni of Arcadia Data will discuss:

• Why modern analytical environments need to focus more on business users.

• Why traditional BI approaches are falling short.

• How new innovations like search-based BI are redefining self-service BI.



AI Enabling Your Business: The Three Keys to Sucess

Speaker: Anoop Dawar, Senior Vice President Product Management, MapR

The session will provide a deeper look at how an underlying platform can simplify and speed the ability to put data into action. This session will also cover first use cases, architectural design, and implementation best practices, along with how small agile teams can drive successful projects.





Predictive Financial Forecasting

Speaker: Brett Kramer, Senior Director, Lead Data Scientist, The Hackett Group

Corporate FP&A groups are challenged with forecasts from business units that are often overly optimistic with no attendant range of potential outcomes. While point forecasts are useful, they fail to provide CFO’s with potential opportunities and risks in the forecast. By implementing an evidence-based, data-driven approach to forecasting using advanced statistical and machine learning models, organizations are able to mitigate the “sandbagging” that plagues bottom-up forecasting processes.



Data Catalog in the Age of AI

Speaker: Mohan Sadashiva, SVP of Product WaterlineData

Insightful analysis often depends upon finding relevant data to work within the first place. Analysts can spend up to 60% of their time looking for data. This data needs to be not only relevant but also of sufficient quality. It has been trustworthy and safe to use. Good governance allows analysts to find data in keeping with regulatory compliance while breaking down interdepartmental silos towards a more egalitarian data estate. Waterline data catalog solves these foundational needs of analysts by making it easy for them to find the right data sets across the enterprise to use for their analysis in a safe and secure manner.



Managing and Automating The Analytic Data Pipeline

Speaker: Chuck Yarbrough, EcoSystem Solutions at Hitachi Vantara

Managing data at scale in the modern world is complex. Blending and analyzing data across multiple sources, orchestrating data science algorithms, and delivering valuable outcomes is the key to success. In this session, Chuck will walk through an example where MapR and Pentaho work together to enable outcomes that matter.




Expert Panel

Panelists: Anoop Dawar, Anil Gadre, Keynote Speaker, Customer presenter

Turn ideas from the day into your own practical course of action. This panel of experts applies the insights from the day’s sessions to real-world challenges by engaging the audience in a spirited discussion.


More details coming soon...





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W Chicago - City Center

172 W Adams St

Chicago, IL 60603

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